fanwuyang/UMSN-Face-Deblurring
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UMSN

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rajeevyasarla
2019-12-29 21:36:31 -05:00
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@@ -29,4 +29,9 @@ We propose a novel multi-stream architecture and training methodology that explo
3. python train_face_deblur.py --dataroot <path_to_train_data> --valDataroot ./facades/github/ --exp ./face_deblur --batchSize 10 3. python train_face_deblur.py --dataroot <path_to_train_data> --valDataroot ./facades/github/ --exp ./face_deblur --batchSize 10
- input should be clean image. blurry images for training are generated by the code it self. - input should be clean image. blurry images for training are generated by the code it self.
## To train Segmentation Netweork
Train Segmentation Netweork using the following command
1. training segmentation network with clean images
python seg_train.py --mode_clean 1 --dataroot ./facades/github/ --valDataroot ./facades/github/
2. training segmentation network with blurry images
python seg_train.py --mode_clean 0 --dataroot ./facades/github/ --valDataroot ./facades/github/